Sex Differences in Poststroke Cognitive Impairment : A Multicenter Study in 2343 Patients With Acute Ischemic Stroke

Funding Information: Dr Exalto is supported by Alzheimer Nederland WE.03-2019-15 and Netherlands CardioVascular Research Initiative: the Dutch Heart Foundation (CVON 2018-28 & 2012-06). The Meta-VCI Map consortium is supported by Vici Grant 918.16.616 from The Netherlands Organisation for Health Research and Development (ZonMw) to Dr Biessels. Harmonization analyses were supported by a Rudolf Magnus Young Talent Fellowship from the University Medical Center Utrecht Brain Center to Dr Biesbroek. The CASPER cohort was supported by Maastricht University, Health Foundation Limburg, and Stichting Adriana van Rinsum-Ponsen. The CROMIS-2 cohort was funded by the UK Stroke Association and the British Heart Foundation (grant number TSA BHF 2009/01). The CU-STRIDE cohort was supported by the Health and Health Services Research Fund of the Food and Health Bureau of the Government of Hong Kong (grant number 0708041), the Lui Che Woo Institute of Innovative Medicine, and Therese Pei Fong Chow Research Center for Prevention of Dementia. The GRECogVASC cohort was funded by Amiens University Hospital and by a grant from the French Ministry of Health (grant number DGOS R1/2013/144). The MSS-2 cohort is funded by the Wellcome Trust (grant number WT088134/Z/09/A to Dr Wardlaw) and the Row Fogo Charitable Trust. The PROCRAS cohort was funded via ZonMW as part of the TopZorg project in 2015 (grant number 842003011). The CODECS cohort (ongoing) is supported by a grant from Stichting Coolsingel (grant number 514). The Bundang VCI and Hallym VCI cohort groups do not wish to report any relevant funding sources. At the time of contribution, Dr Hamilton was funded by the College of Medicine and Veterinary Medicine at the University of Edinburgh and was supported by the Wellcome Trust through the Translational Neuroscience PhD program at the University of Edinburgh. Publisher Copyright: © 2023 Lippincott Williams and Wilkins. All rights reserved.Peer reviewedPublisher PD

Social cognition impairments in the long term post stroke

Objective: To examine the presence of social cognition deficits and the relationship between social and general cognition (eg, attention, mental speed, verbal, visual, or memory abilities) in a large sample of chronic stroke patients and to identify stroke-related factors associated with social cognitive performance. Design: Inception cohort study in which social cognition was assessed at 3-4 years post stroke. Setting: Stroke units in 6 general hospitals. Participants: The data of 148 patients were available. Fifty controls without stroke (consisting of partners of patients and acquaintances of researchers) were recruited (N = 198). Interventions: Not applicable. Main Outcome Measures: Patients underwent neuropsychological assessment by means of tests for social cognition (emotion recognition, theory of mind [ToM], empathy, and behavior regulation) and general cognition. Subgroup analysis was performed to compare right hemisphere stroke patients with left hemisphere stroke patients. Correlations between general and social cognition tests were assessed. Multiple regression analyses were performed to identify demographic and stroke-related predictors of social cognitive performance. Results: Patients performed significantly worse on emotion recognition (assessed with the Ekman 60-Faces test on total score as well as on the emotion anger), ToM (assessed with the Cartoon test), and behavior regulation (assessed with the Hayling test). Subgroup analysis revealed no differences between right and left hemisphere patients. Social cognition tests showed significant correlations with each other and with tests for visual perception, language, mental speed, cognitive flexibility, and memory. Older age, low level of education (and for ToM, also female sex) were predictors of worse performance on social cognition tests. Conclusion: Social cognition impairments are present in the long term post stroke, even in a group of mildly affected stroke patients, which may contribute to their long-term problems. Severity of impairments is determined mainly by demographic factors

Course and predictors of subjective cognitive complaints during the first 12 months after stroke

Background: Subjective Cognitive Complaints (SCC) are common after stroke. This study documents the prevalence and course of SCC in the first year after stroke and determines which patient characteristics in the first 3 months predict subsequent SCC at 1-year follow-up. Methods: Using a longitudinal design, 155 patients (mean age 64.0 ± 11.9 years; 69.7% men) were assessed at 3 and 12 months after stroke. SCC were assessed using the Checklist for Cognitive and Emotional consequences following stroke (CLCE) inventory (content component [CLCE-c] and worry component [CLCE-w]). Potential predictors of 12 months SCC included demographics, stroke severity, objective cognitive impairment, psychological factors (depression, anxiety, perceived stress, fatigue, personality traits, coping style), and activities of daily life functioning assessed at 3 months poststroke. Multiple hierarchical linear regression analyses were used to determine predictors of SCC at 12 months poststroke. Results: SCC remained stable from 3 to 12 months over time (CLCE-c from 3.3 ± 2.4 to 3.3 ± 2.6; CLCE-w: from 1.9 ± 2.2 to 2.1 2.5). Independent predictors of SCC at 12 months were baseline CLCE-c (β = 0.54) and perceived stress (β = 0.23) for content, and baseline CLCE-w (β = 0.57) and depressive symptoms (β = 0.23) for worry. Conclusions: Patients who report SCC at 3 months after stroke are likely to continue having these complaints at 1 year follow-up. Perceived stress and depressive symptoms additionally increase the likelihood of having SCC at 12 months, independent of SCC at 3 months poststroke. Rehabilitation programs that target reduction of stress and depression in the first months after stroke might reduce sustained SCC and improve well-being

White matter hyperintensity volume and post-stroke cognition: an individual patient data pooled analysis of nine ischemic stroke cohort studies

Background and aims: White matter hyperintensities (WMH) are associated with cognitive dysfunction after ischemic stroke. Yet uncertainty remains about affected domains, the role of other pre-existing brain injury, and infarct-types in the relation between WMH burden and post-stroke cognition. We aimed to disentangle these factors in a large sample of patients with ischemic stroke from different cohorts. Methods We pooled and harmonized individual patient data (n=1568) from 9 cohorts, through the Meta VCI Map consortium (www.metavcimap.org). Included cohorts comprised patients with available MRI and multi-domain cognitive assessment <15 months post73 stroke. Linear mixed models were used to determine the association between WMH volume and domain-specific cognitive functioning (z-scores; attention & executive functioning, processing speed, language and verbal memory) for the total sample and stratified by infarct-type. Pre-existing brain injury was accounted for in the multivariable models and all analyses were corrected for study site as a random effect.. Results In the total sample (67 years (SD 11.5), 40% female), we found a dose-dependent inverse relationship between WMH volume and post-stroke cognitive functioning across all four cognitive domains (coefficients ranging from -0.09 (SE 0.04, p=0.01) for verbal memory to -0.19 (SE 0.03, p<0.001) for attention & executive functioning). This relation was independent of acute infarct volume and presence of lacunes and old infarcts. In stratified analyses, the relation between WMH volume and domain86 specific functioning was also largely independent of infarct-type. Conclusion: In patients with ischemic stroke, increasing WMH volume is independently associated with worse cognitive functioning across all major domains, regardless of old ischemic lesions and infarct-type

Sex differences in post-stroke cognitive impairment: a multicenter study in 2343 patients with acute ischemic stroke

No abstract available

Two-year clinical follow-up of the Multicenter Randomized Clinical Trial of Endovascular Treatment for Acute Ischemic Stroke in The Netherlands (MR CLEAN): design and statistical analysis plan of the extended follow-up study

Background: MR CLEAN was the first randomized trial to demonstrate the short-term clinical effectiveness of endovascular treatment in patients with acute ischemic stroke caused by large vessel occlusion in the anterior circulation. Several other trials confirmed that endovascular treatment improves clinical outcome at three months. However, limited data are available on long-term clinical outcome. We aimed to estimate the effect of endovascular treatment on functional outcome at two-year follow-up in patients with acute ischemic stroke. Secondly, we aimed to assess the effect of endovascular treatment on major vascular events and mortality during two years of follow-up. Methods: MR CLEAN is a multicenter clinical trial with randomized treatment allocation, open-label treatment, and blinded endpoint evaluation. Patients included were 18 years or older with acute ischemic stroke caused by a proven anterior proximal artery occlusion who could be treated within six hours after stroke onset. The intervention contrast was endovascular treatment and usual care versus no endovascular treatment and usual care. The current study extended the follow-up duration from three months to two years. The primary outcome is the score on the modified Rankin scale at two years. Secondary outcomes include all-cause mortality and the occurrence of major vascular events within two years of follow-up. Discussion: The results of our study provide information on the long-term clinical effectiveness of endovascular treatment, which may have implications for individual treatment decisions and estimates of cost-effectiveness. Trial registration:NTR1804. Registered on 7 May 2009; ISRCTN10888758. Registered on 24 July 2012 (main MR CLEAN trial); NTR5073. Registered on 26 February 2015 (extended follow-up study)

Genomewide association studies of stroke

BACKGROUND: The genes underlying the risk of stroke in the general population remain undetermined. METHODS: We carried out an analysis of genomewide association data generated from four large cohorts composing the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, including 19,602 white persons (mean [±SD] age, 63±8 years) in whom 1544 incident strokes (1164 ischemic strokes) developed over an average follow-up of 11 years. We tested the markers most strongly associated with stroke in a replication cohort of 2430 black persons with 215 incident strokes (191 ischemic strokes), another cohort of 574 black persons with 85 incident strokes (68 ischemic strokes), and 652 Dutch persons with ischemic stroke and 3613 unaffected persons. RESULTS: Two intergenic single-nucleotide polymorphisms on chromosome 12p13 and within 11 kb of the gene NINJ2 were associated with stroke (P<5×10-8). NINJ2 encodes an adhesion molecule expressed in glia and shows increased expression after nerve injury. Direct genotyping showed that rs12425791 was associated with an increased risk of total (i.e., all types) and ischemic stroke, with hazard ratios of 1.30 (95% confidence interval [CI], 1.19 to 1.42) and 1.33 (95% CI, 1.21 to 1.47), respectively, yielding population attributable risks of 11% and 12% in the discovery cohorts. Corresponding hazard ratios were 1.35 (95% CI, 1.01 to 1.79; P = 0.04) and 1.42 (95% CI, 1.06 to 1.91; P = 0.02) in the large cohort of black persons and 1.17 (95% CI, 1.01 to 1.37; P = 0.03) and 1.19 (95% CI, 1.01 to 1.41; P = 0.04) in the Dutch sample; the results of an underpowered analysis of the smaller black cohort were nonsignificant. CONCLUSIONS: A genetic locus on chromosome 12p13 is associated with an increased risk of stroke

Extracranial carotid disease and effect of intra-arterial treatment in patients with proximal anterior circulation stroke in MR CLEAN

Background: The presence of extracranial carotid disease (ECD) is associated with less favorable clinical outcomes in patients with acute ischemic stroke caused by intracranial proximal occlusion. Acute intra-arterial treatment (IAT) in the setting of extracranial and intracranial lesions is considered challenging, and whether it yields improved outcomes remains uncertain. Objective: To examine whether the presence of ECD modified the effect of IAT for intracranial proximal anterior circulation occlusion. Design: Prespecified subgroup analysis of a randomized clinical trial of endovascular treatment for acute ischemic stroke in the Netherlands. (Trial registrations: NTR1804 [Netherlands Trial Register] and ISRCTN10888758) Setting: 16 hospitals in the Netherlands. Patients: Acute ischemic stroke caused by proximal intracranial arterial occlusion of the anterior circulation. Extracranial carotid disease was defined as cervical internal carotid artery stenosis (>50%) or occlusion. Intervention: IAT treatment versus no IAT. Measurements: The primary outcome was functional outcome, as measured by the modified Rankin Scale at 90 days and reported as adjusted common odds ratio (acOR) for a shift in direction of a better outcome. Multivariable ordinal logistic regression analysis with an interaction term was used to estimate treatment effect modification by ECD. Results: The overall acOR was 1.67 (95% CI, 1.21 to 2.30) in favor of the intervention. The acOR was 3.1 (CI, 1.7 to 5.8) in the prespecified subgroup of patients with ECD versus 1.3 (CI, 0.9 to 1.9) in patients presenting without ECD. Both acORs are in favor of the intervention (P for interaction = 0.07). Limitation: The study was not powered for subgroup analysis. Conclusion: Intra-arterial treatment may be at least as effective in patients with ECD as in those without ECD, and it should not be withheld in these complex patients with acute ischemic stroke

Network impact score is an independent predictor of post-stroke cognitive impairment: A multicenter cohort study in 2341 patients with acute ischemic stroke

© 2022 The Author(s)Background: Post-stroke cognitive impairment (PSCI) is a common consequence of stroke. Accurate prediction of PSCI risk is challenging. The recently developed network impact score, which integrates information on infarct location and size with brain network topology, may improve PSCI risk prediction. Aims: To determine if the network impact score is an independent predictor of PSCI, and of cognitive recovery or decline. Methods: We pooled data from patients with acute ischemic stroke from 12 cohorts through the Meta VCI Map consortium. PSCI was defined as impairment in ≥ 1 cognitive domain on neuropsychological examination, or abnormal Montreal Cognitive Assessment. Cognitive recovery was defined as conversion from PSCI &lt; 3 months post-stroke to no PSCI at follow-up, and cognitive decline as conversion from no PSCI to PSCI. The network impact score was related to serial measures of PSCI using Generalized Estimating Equations (GEE) models, and to PSCI stratified according to post-stroke interval (&lt;3, 3–12, 12–24, &gt;24 months) and cognitive recovery or decline using logistic regression. Models were adjusted for age, sex, education, prior stroke, infarct volume, and study site. Results: We included 2341 patients with 4657 cognitive assessments. PSCI was present in 398/844 patients (47%) &lt;3 months, 709/1640 (43%) at 3–12 months, 243/853 (28%) at 12–24 months, and 208/522 (40%) &gt;24 months. Cognitive recovery occurred in 64/181 (35%) patients and cognitive decline in 26/287 (9%). The network impact score predicted PSCI in the univariable (OR 1.50, 95%CI 1.34–1.68) and multivariable (OR 1.27, 95%CI 1.10–1.46) GEE model, with similar ORs in the logistic regression models for specified post-stroke intervals. The network impact score was not associated with cognitive recovery or decline. Conclusions: The network impact score is an independent predictor of PSCI. As such, the network impact score may contribute to a more precise and individualized cognitive prognostication in patients with ischemic stroke. Future studies should address if multimodal prediction models, combining the network impact score with demographics, clinical characteristics and other advanced brain imaging biomarkers, will provide accurate individualized prediction of PSCI. A tool for calculating the network impact score is freely available at https://metavcimap.org/features/software-tools/lsm-viewer/.N

Association between thrombus composition and stroke etiology in the MR CLEAN Registry biobank

Purpose: The composition of thrombi retrieved during endovascular thrombectomy (EVT) in acute ischemic stroke (AIS) due to large vessel occlusion (LVO) may differ depending on their origin. In this study, we investigated the association between thrombus composition and stroke etiology in a large population of patients from the Dutch MR CLEAN Registry treated with EVT in daily clinical practice. Methods: The thrombi of 332 patients with AIS were histologically analyzed for red blood cells (RBC), fibrin/platelets (F/P), and white blood cells (leukocytes) using a machine learning algorithm. Stroke etiology was assessed using the Trial of Org 10,172 in acute stroke treatment (TOAST) classification. Results: The thrombi of cardioembolic origin contained less RBC and more F/P than those of non-cardioembolic origin (25.8% vs 41.2% RBC [p = 0.003] and 67.1% vs 54.5% F/P [p = 0.004]). The likelihood of a non-cardioembolic source of stroke increased with increasing thrombus RBC content (OR 1.02; [95% CI 1.00–1.06] for each percent increase) and decreased with a higher F/P content (OR 1.02; [95% CI 1.00–1.06]). Thrombus composition in patients with a cardioembolic origin and undetermined origin was similar. Conclusion: Thrombus composition is significantly associated with stroke etiology, with an increase in RBC and a decrease in F/P raising the odds for a non-cardioembolic cause. No difference between composition of cardioembolic thrombi and of undetermined origin was seen. This emphasizes the need for more extensive monitoring for arrhythmias and/or extended cardiac analysis in case of an undetermined origin